Critical scales to explain urban hydrological response: an application in Cranbrook, London

Cristiano, Elena; Veldhuis, Marie-Claire ten; Gaitan, Santiago; Ochoa-Rodríguez, Susana; Giesen, Nick van de

doi:10.5194/hess-22-2425-2018

Cited by 16 publications

(28 citation statements)

References 51 publications

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“…The peak attenuation ratio indicates the percentage of peak intensity lost when aggregating to a coarser resolution. Our previous study at smaller scale (Cristiano et al, 2018), highlighted that the effects of aggregation are substantial, up to −0.88 when aggregating from 100 m 1 min to 3000 m-10 min.…”

Section: Rainfall Aggregationmentioning

confidence: 93%

“…Effects of rainfall aggregation are investigated using the peak attenuation ratio P proposed by Cristiano et al () and defined as follows:

P = - \frac{R_{\max, ref} - R_{\max, normalΔ s normalΔ t}}{R_{\max, ref}}

where

R_{\max, ref}

is the rainfall peak rate of single pixel at 1 km 2 ‐15 min and

R_{\max, st}

is the rainfall peak at the spatial resolution Δ s and temporal resolution Δ t . The peak attenuation ratio indicates the percentage of peak intensity lost when aggregating to a coarser resolution.…”

Section: Methodsmentioning

confidence: 99%

“…Scale factors introduced in Cristiano et al () combine the spatial and temporal scales of rainfall ( R s and R t ) and catchment ( C s and C t ), with the spatial and temporal rainfall resolution Δ s and Δ t , used to drive the hydrological model. The characteristic rainfall spatial dimension R s is represented by the rainfall cluster dimension above the 75th percentile threshold.…”

Section: Methodsmentioning

confidence: 99%

“…With the aim to evaluate the applicability of the scale factors and of their thresholds proposed by Cristiano et al (; section ), few indicators has been used.…”

Section: Methodsmentioning

confidence: 99%

“…Effects of rainfall aggregation are investigated using the peak attenuation ratio P proposed by Cristiano et al (2018) and defined as follows:…”

Section: Rainfall Aggregationmentioning

confidence: 99%

See 4 more Smart Citations

The Influence of Rainfall and Catchment Critical Scales on Urban Hydrological Response Sensitivity

Cristiano

Veldhuis

Wright

et al. 2019

Water Resources Research

Self Cite

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Interactions between spatial and temporal variability of rainfall and catchment characteristics strongly influence hydrological response. In urban areas, where runoff generation is fast due to high imperviousness degree, it is especially relevant to capture the high spatiotemporal rainfall variability. Significant progress has been made in the development of spatially distributed rainfall measurements and of distributed hydrological models, to represent the variability of catchment's characteristics. Interactions between rainfall and basin scales on hydrological response sensitivity, however, needs deeper investigation. A previous study investigated the hydrological response in the small urbanized catchment of Cranbrook (8 km2, London, UK) and proposed three dimensionless “scale factors” to identify if the available rainfall resolution is sufficient to properly predict hydrological response. We aim to verify the applicability of these scale factors to larger scales, with a distinct physiographic setting, in Little Sugar Creek (111 km2, Charlotte, USA), to identify the required rainfall resolution and to predict model performance. Twenty‐eight events were selected from a weather radar data set from the National Weather Radar Network, with a resolution of 1 km2 and 15 min. Rainfall data were aggregated to coarser resolutions and used as input for a distributed hydrological model. Results show that scale factors and associated thresholds are generally applicable for characterization of urban flood response to rainfall across spatiotemporal scales. Additionally, application of scale factors in observation‐based analysis supports identification of event characteristics that are poorly captured and critical improvements that need to be made before the model can benefit from high‐resolution rainfall.

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Section: Rainfall Aggregationmentioning

confidence: 93%

“…Effects of rainfall aggregation are investigated using the peak attenuation ratio P proposed by Cristiano et al () and defined as follows:

P = - \frac{R_{\max, ref} - R_{\max, normalΔ s normalΔ t}}{R_{\max, ref}}

where

R_{\max, ref}

is the rainfall peak rate of single pixel at 1 km 2 ‐15 min and

R_{\max, st}

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…With the aim to evaluate the applicability of the scale factors and of their thresholds proposed by Cristiano et al (; section ), few indicators has been used.…”

Section: Methodsmentioning

confidence: 99%

“…Effects of rainfall aggregation are investigated using the peak attenuation ratio P proposed by Cristiano et al (2018) and defined as follows:…”

Section: Rainfall Aggregationmentioning

confidence: 99%

See 3 more Smart Citations

The Influence of Rainfall and Catchment Critical Scales on Urban Hydrological Response Sensitivity

Cristiano

Veldhuis

Wright

et al. 2019

Water Resources Research

Self Cite

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show abstract

Impacts of temporal/spatial rainfall heterogeneities on peak runoff distribution and intensities for an urban river basin of south China

Cai,

Yang,

Tan

et al. 2024

River

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In this research, a modeling approach of rainfall generator coupled with high resolution rainfall products were proposed to generate designed rainfall events under multiple spatial and temporal distributions, which was then employed to analyze the impacts of spatial and temporal rainfall heterogeneities on peak runoff for watersheds. Three scenarios were developed under multiple degrees of impermeable underlying surface areas within an urban watershed in south China. Detailed runoff processes were analyzed through the adoption of a distributed hydrological model (GSSHA). A covariance analysis method combined with rainfall spatio‐temporal heterogeneity characteristic were used to quantify heterogeneity effects on peak runoff. Results indicated that coupling short period (2008–2016) remotely rainfall data and RainyDay results could successfully reproduce designed rainfall events, spatio‐temporal heterogeneity of rainfall contributed significantly to the peak runoff, which was greater than those by rainfall duration and capacity, and the increase in impermeable underlying surface enhanced the complexities of the effects. Over each rainfall duration with increasing rainfall return period, the indicator of rainfall peak coefficient (RWD) would decrease and then increase. Regarding the total rainfall center (tg), 25 mm/h threshold rainfall spatial coverage (A25) decreased with increasing imperviousness, 1‐h maximum rainfall (Rmax) surged with increasing imperviousness at rainfall duration of 2 and 24 h. Innovations of this research lied in: combination of a rainfall generator model based on a stochastic storm transposition technique and remote‐sensing rainfall data to generate designed rainfall events, a rainfall spatial and temporal heterogeneities index system was developed to reveal how the changing characteristics of rainfall distribution and the impacts on peak runoff, and in‐depth analysis of the impacts on runoff peak under multiple urban development scenarios for increasing capability in flood control/prevention.

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Intermittency of rainfall at sub-daily timescales: New quantitative indices based on the number, duration, and sequencing of interruptions to rainfall

Dunkerley

2021

Atmospheric Research

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Critical scales to explain urban hydrological response: an application in Cranbrook, London

Cited by 16 publications

References 51 publications

The Influence of Rainfall and Catchment Critical Scales on Urban Hydrological Response Sensitivity

The Influence of Rainfall and Catchment Critical Scales on Urban Hydrological Response Sensitivity

Impacts of temporal/spatial rainfall heterogeneities on peak runoff distribution and intensities for an urban river basin of south China

Intermittency of rainfall at sub-daily timescales: New quantitative indices based on the number, duration, and sequencing of interruptions to rainfall

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